EXPLORING THE RELATIONSHIP OF THE CLOSENESS OF A GENETIC ALGORITHM’S CHROMOSOME ENCODING TO ITS PROBLEM SPACE
For historical reasons, implementers of genetic algorithms often use a haploid binary primitive type for chromosome encoding. I will demonstrate that one can reduce development effort and achieve higher fitness by designing a genetic algorithm with an encoding scheme that closely matches the proble...
Main Author: | McCullough, Kevin |
---|---|
Format: | Others |
Published: |
DigitalCommons@CalPoly
2010
|
Subjects: | |
Online Access: | https://digitalcommons.calpoly.edu/theses/247 https://digitalcommons.calpoly.edu/cgi/viewcontent.cgi?article=1257&context=theses |
Similar Items
-
Application of genetic algorithm to the technological operations scheduling problem
by: Lujić, R., et al.
Published: (2008-04-01) -
Compare Between Genetic Algorithm and Clonal Selection Algorithm To Pattern Recognition Latin's Numbers
by: Maha Mohammed
Published: (1970-01-01) -
Generation of Space Shooter Level Using Genetic Approach
by: Ahmad Hamdani, et al.
Published: (2019-01-01) -
AI technologies for education: Recent research & future directions
by: Ke Zhang, et al.
Published: (2021-01-01) -
Steps towards an empirically responsible AI : a methodological and theoretical framework
by: Svedberg, Peter O.S.
Published: (2004)